[KongchangAI]
Unverified50% confidenceBenchmarkExact time

MedScribe AI uses a ResNet18 model trained on the Kaggle pediatric chest X-ray dataset at its foundation, and with the help of the TorchXRayVision open-source medical imaging foundation model, achieves 90.5% accuracy, 98.4% precision, and 93.2% F1 score according to data published by the project team.

1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027

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